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- Return to work (5)
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- School (5)
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- Ti-6Al-4V (5)
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- Walking (5)
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- algae (5)
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- allometry (5)
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- degradation (5)
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- discrepancy principle (5)
- dissociative electron attachment (5)
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- electrons (5)
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- ensemble Kalman filter (5)
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- first passage time (5)
- floodplain (5)
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- foraging (5)
- fractional Brownian motion (5)
- functional diversity (5)
- galaxies: haloes (5)
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- gamma-rays: general (5)
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- predator-prey dynamics (5)
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- productivity (5)
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- proteins (5)
- quantification (5)
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- recombination (5)
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- scale development (5)
- scattering (5)
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- sodium (5)
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- traits (5)
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- trend analysis (5)
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- uncertainty quantification (5)
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- wh-questions (5)
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- 3D point clouds (4)
- 4 (4)
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- Eye-movement monitoring (4)
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- IR-MALDI (4)
- ISM: molecules (4)
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- Insect (4)
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- Model (4)
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- Proteins (4)
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- SDS-PAGE (4)
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- Start-up subsidies (4)
- Statistical methods (4)
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- Synthesis (4)
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- TSNMRS (4)
- Tarim Basin (4)
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- Thermoresponsive (4)
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- ToF-SIMS (4)
- Trace elements (4)
- Transfer function (4)
- Translation (4)
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- Trust (4)
- Tso Moriri Lake (4)
- Twitter (4)
- Van Allen Probes (4)
- WA-PLS (4)
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- X-ray absorption (4)
- X-ray absorption spectroscopy (4)
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- abstract concepts (4)
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- academic self-concept (4)
- acceleration (4)
- accretion, accretion disks (4)
- acid ceramidase (4)
- action observation (4)
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- age of acquisition (4)
- alexithymia (4)
- amino acids (4)
- anger (4)
- anthropometry (4)
- antiplasmodial (4)
- arithmetic (4)
- attitudes (4)
- augmented reality (4)
- auxin (4)
- bacteriophage (4)
- biodegradable polymers (4)
- biomimetic sensors (4)
- biomineralization (4)
- birth weight (4)
- body waves (4)
- carbon sequestration (4)
- catchment (4)
- cell adhesion (4)
- cells (4)
- cellulose (4)
- change of direction (4)
- chaos (4)
- characteristics (4)
- charge generation (4)
- chemotaxis (4)
- child development (4)
- children and adolescents (4)
- circadian clock (4)
- climate mitigation (4)
- clone (4)
- co-limitation (4)
- coastal erosion (4)
- cognitive development (4)
- composition (4)
- conjugated polymers (4)
- construction (4)
- context (4)
- contrast (4)
- conversational agents (4)
- cooperation (4)
- core (4)
- corruption (4)
- creep (4)
- cue-based retrieval (4)
- cyber aggression (4)
- cyclic voltammetry (4)
- data (4)
- data integration (4)
- database (4)
- defense (4)
- demography (4)
- deposition (4)
- depressive symptoms (4)
- digital platforms (4)
- disease (4)
- disturbance (4)
- drop jump (4)
- droughts (4)
- dynamic NMR (4)
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- early warning (4)
- ecohydrology (4)
- ecological speciation (4)
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- effectiveness (4)
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- employment (4)
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- errata, addenda (4)
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- events (4)
- experimental design (4)
- expression (4)
- extreme events (4)
- eye movement (4)
- eye tracking (4)
- eye-movement monitoring (4)
- fNIRS (4)
- fabrication (4)
- facilitation (4)
- feedback (4)
- financial crisis (4)
- financial institutions (4)
- financial markets (4)
- fish (4)
- flood risk management (4)
- fluorescence correlation spectroscopy (4)
- food webs (4)
- force (4)
- freshwater (4)
- galaxies: star formation (4)
- gelatin (4)
- gene (4)
- geochemistry (4)
- geometric Brownian motion (4)
- geomorphology (4)
- giving-up density (4)
- grammar (4)
- gravitational waves (4)
- habitat (4)
- herbivory (4)
- heterostyly (4)
- history (4)
- history and philosophy of astronomy (4)
- home range (4)
- honey bee (4)
- human behaviour (4)
- human impact (4)
- human physical conditioning (4)
- hybridization capture (4)
- hydrogen (4)
- hydrogen peroxide (4)
- hydropower (4)
- hypochondriasis (4)
- inclusive education (4)
- income (4)
- individual (4)
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- infants (4)
- inference (4)
- instability (4)
- institutional change (4)
- integration (4)
- inter-individual differences (4)
- international organisations (4)
- inversion (4)
- island biogeography (4)
- joint Simon effect (4)
- joint action (4)
- kinematics (4)
- knowledge transfer (4)
- land use change (4)
- large-scale structure of Universe (4)
- life history (4)
- light scattering (4)
- line: identification (4)
- linear hypersubstitution (4)
- livestock (4)
- localization (4)
- locomotion (4)
- low-energy electrons (4)
- macrophytes (4)
- magnetic nanoparticles (4)
- magnetostratigraphy (4)
- manganese (4)
- mapping (4)
- maturity (4)
- measurement invariance (4)
- mechanisms (4)
- membrane (4)
- mental disorders (4)
- mental simulation (4)
- metabolic syndrome (4)
- metabolite profiling (4)
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- methodology (4)
- mitigation (4)
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- molecular modeling (4)
- molecular rods (4)
- multiplicative noise (4)
- natural language processing (4)
- neurodegeneration (4)
- neuroplasticity (4)
- neutrinos (4)
- neutron diffraction (4)
- new species (4)
- noise (4)
- non-state actors (4)
- nonergodicity (4)
- nonlinear dynamics (4)
- nuclear envelope (4)
- nuclear lamina (4)
- nucleus (4)
- numerical simulations (4)
- optimal transport (4)
- organic matter (4)
- orthography (4)
- oscillations (4)
- overweight (4)
- oxygen (4)
- p53 (4)
- pandemic (4)
- parafoveal processing (4)
- partial clone (4)
- partial melting (4)
- participation (4)
- participatory research (4)
- patterns (4)
- periodization (4)
- perturbation (4)
- phase transitions (4)
- phenotyping (4)
- phosphate (4)
- photoelectron spectroscopy (4)
- photophysics (4)
- phototaxis (4)
- phylogenetic diversity (4)
- physiology (4)
- phytolith (4)
- picture-word interference (4)
- piezoelectricity (4)
- planets and satellites: atmospheres (4)
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- planning (4)
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- plant functional traits (4)
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- porous carbon (4)
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- presidential government (4)
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- production control (4)
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- properties (4)
- prosocial behavior (4)
- prosodic boundary cues (4)
- protein-protein interaction (4)
- psychology (4)
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- public administration (4)
- quality management (4)
- quantum dots (4)
- quorum sensing (4)
- real-time rendering (4)
- recognition (4)
- regularization (4)
- rehabilitation (4)
- rejection sensitivity (4)
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- repair (4)
- repetition (4)
- representation (4)
- research (4)
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- responses (4)
- retinol (4)
- retinol-binding protein 4 (4)
- rheology (4)
- river incision (4)
- rotifers (4)
- salicylic acid (4)
- salt stress (4)
- school children (4)
- screening (4)
- security (4)
- seismicity (4)
- selection (4)
- selenium (4)
- self-concept (4)
- semi-arid (4)
- sensors (4)
- sentence production (4)
- sentiment analysis (4)
- sexual victimization (4)
- shape memory (4)
- shape-memory polymers (4)
- shrub encroachment (4)
- silicon (4)
- simulations (4)
- snow (4)
- soccer (4)
- soil erosion (4)
- sorption (4)
- species distribution model (4)
- speed (4)
- standardization (4)
- stars: black holes (4)
- stars: chemically peculiar (4)
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- starspots (4)
- stochastic models (4)
- structural equation modeling (4)
- supergene (4)
- suspended sediment (4)
- sustainable development (4)
- systems biology (4)
- tRNA (4)
- tailspike protein (4)
- teacher education (4)
- teaching quality (4)
- thaliana (4)
- thermoresponsive polymers (4)
- time series (4)
- tools (4)
- training adaptation (4)
- transcription factors (4)
- transcriptional memory (4)
- transition (4)
- treeline (4)
- trunk (4)
- trust (4)
- type 2 diabetes mellitus (4)
- ultrasound (4)
- uplift (4)
- user experience (4)
- ventral striatum (4)
- visions of democracy (4)
- water management (4)
- weather (4)
- wetland (4)
- wh-in-situ (4)
- work (4)
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- young adults (4)
- youth sports (4)
- zebrafish (4)
- 3D (3)
- ABC transporter (3)
- ACT-R (3)
- Academic achievement (3)
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- Acceleration (3)
- Acer pseudoplatanus (3)
- Acquisition (3)
- Actin cytoskeleton (3)
- Action processing (3)
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- Acute coronary syndrome (3)
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- Affordances (3)
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- Alborz Mountains (3)
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- Aldehyde oxidoreductase (3)
- Aleatory variability (3)
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- Amides (3)
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- Amygdala (3)
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- Anomalous diffusion (3)
- Aridity (3)
- Array seismology (3)
- Arsenic (3)
- Asian American (3)
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- Asparagales (3)
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- Atlantic meridional overturning circulation (3)
- Atmosphere (3)
- Attrition (3)
- Augmented reality (3)
- Auxin transport (3)
- Azobenzene containing cationic surfactants (3)
- BL Lacertae objects: individual: Mrk 421 (3)
- BL Lacertae objects: individual: PKS 2155-304 (3)
- BMI (3)
- Base pairing (3)
- Baseline shift (3)
- Basketball (3)
- Bayesian analysis (3)
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- printing (2)
- prior knowledge (2)
- privatization (2)
- proactive personality (2)
- proactive work behavior (2)
- probability (2)
- probability density function (2)
- problem (2)
- problem-solving (2)
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- process (2)
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- processes (2)
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- puberty (2)
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- publication bias (2)
- pulling isometric muscle action (PIMA) (2)
- pulsars: individual: PSR B0833-45 (2)
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- quantum (2)
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Same but different
(2022)
The peace processes in Liberia and Sierra Leone share similar contexts and have an interrelated history. They are also often portrayed as successful cases of peacebuilding. This conclusion seems valid, as war has not returned, and political power was handed over peacefully; however, both cases differ with regard to the inclusiveness of the peace processes and the role of local leaders. This article aims to add to the critical peacebuilding debate by focusing on local perceptions about the position of local leaders in these two peace processes. We conducted a public opinion survey in five regions in Sierra Leone and Liberia and expert interviews with peacebuilding actors to examine changing perceptions about the roles of local leaders in both countries. This article speaks to the broader peacebuilding debate by highlighting the importance of including local voices in the peace process and by discussing challenges of inclusive peacebuilding.
In which negotiation contexts are transitional justice provisions included in peace agreements? Today, many peace agreements include transitional justice provisions, but their inclusion differs based on conflict and negotiation characteristics. While context thus seems to be relevant for the choice of transitional justice provisions agreed on by the warring parties, very little is known about the context clusters that enable transitional justice. Using data on 58 full peace agreements signed between 1989 and 2018, a crisp-set Qualitative Comparative Analysis (QCA) investigates the combinations of conflict intensity, rebel group strength, type of conflict, third-party support and civil society participation that led to the inclusion of transitional justice provisions. The result of this exploratory study suggests four context settings that are identified as being empirically relevant for the inclusion of transitional justice provisions. Choices of justice are thus the result of an overall negotiation environment characterized by multiple interrelated context factors.
Colloidal metal sulfide nanoparticles for high performance electrochemical energy storage systems
(2022)
Transition metal sulfides have emerged as excellent replacement candidates of traditional insertion electrode materials based on their conversion or alloying mechanisms, facilitating high specific capacity and rate ability. However, parasitic reactions such as massive volume change during the discharge/ charge processes, intermediate polysulfide dissolution, and passivating solid electrolyte interface formation have led to poor cyclability, hindering their feasibility and applicability in energy storage systems. Colloidal metal sulfide nanoparticles, a special class that integrates the intrinsic chemical properties of metal sulfides and their specified structural features, have fairly enlarged their contribution due to the synergistic effect. This review highlights the latest synthetic approaches based on colloidal process. Their corresponding electrochemical outcomes will also be discussed, which are thoroughly updated along with their insight scientific standpoints.
Consumers are increasingly demanding higher quality and safety standards for the products they consume, and one of this is wheat flour, the basis of a wide variety of processed products. This major component in the diet of many communities can be contaminated by microorganisms before the grain harvest, or during the grain storage right before processing. These microorganisms include several fungal species, many of which produce mycotoxins, secondary metabolites that can cause severe acute and chronic disorders. Yet, we still know little about the overall composition of fungal communities associated with wheat flour. In this study, we contribute to fill this gap by characterizing the fungal microbiome of different types of wheat flour using culture-dependent and -independent techniques. Qualitatively, these approaches suggested similar results, highlighting the presence of several fungal taxa able to produce mycotoxins. In-vitro isolation of fungal species suggest a higher frequency of Penicillium, while metabarcoding suggest a higher abundance of Alternaria. This discrepancy might reside on the targeted portion of the community (alive vs. overall) or in the specific features of each technique. Thus, this study shows that commercial wheat flour hosts a wide fungal diversity with several taxa potentially representing concerns for consumers, aspects that need more attention throughout the food production chain.
Effect of magnesium salts with chaotropic anions on the swelling behavior of PNIPMAM thin films
(2023)
Poly(N-isopropylmethacrylamide) (PNIPMAM) is a stimuli responsive polymer, which in thin film geometry exhibits a volume-phase transition upon temperature increase in water vapor. The swelling behavior of PNIPMAM thin films containing magnesium salts in water vapor is investigated in view of their potential application as nanodevices. Both the extent and the kinetics of the swelling ratio as well as the water content are probed with in situ time-of-flight neutron reflectometry. Additionally, in situ Fourier-transform infrared (FTIR) spectroscopy provides information about the local solvation of the specific functional groups, while two-dimensional FTIR correlation analysis further elucidates the temporal sequence of solvation events. The addition of Mg(ClO4)2 or Mg(NO3)2 enhances the sensitivity of the polymer and therefore the responsiveness of switches and sensors based on PNIPMAM thin films. It is found that Mg(NO3)2 leads to a higher relative water uptake and therefore achieves the highest thickness gain in the swollen state.
Thermal electrons have gyroradii many orders of magnitude smaller than the finite width of a shock, thus need to be pre-accelerated before they can cross it and be accelerated by diffusive shock acceleration. One region where pre-acceleration may occur is the inner foreshock, which upstream electrons must pass through before any potential downstream crossing. In this paper, we perform a large-scale particle-in-cell simulation that generates a single shock with parameters motivated from supernova remnants. Within the foreshock, reflected electrons excite the oblique whistler instability and produce electromagnetic whistler waves, which comove with the upstream flow and as nonlinear structures eventually reach radii of up to 5 ion-gyroradii. We show that the inner electromagnetic configuration of the whistlers evolves into complex nonlinear structures bound by a strong magnetic field around four times the upstream value. Although these nonlinear structures do not in general interact with cospatial upstream electrons, they resonate with electrons that have been reflected at the shock. We show that they can scatter, or even trap, reflected electrons, confining around 0.8% of the total upstream electron population to the region close to the shock where they can undergo substantial pre-acceleration. This acceleration process is similar to, yet approximately three times more efficient than, stochastic shock drift acceleration.
Analyzing social wrongs
(2023)
In the debate on epistemic injustice, it is generally assumed that testimonial injustice as one form of epistemic injustice cannot be committed (fully) deliberately or intentionally because it involves unconscious identity prejudices. Drawing on the case of sexual violence against refugees in European refugee camps, this paper argues that there is a form of testimonial injustice—willful testimonial injustice—that is deliberate. To do so, the paper argues (a) that the hearer intentionally utilizes negative identity prejudices for a particular purpose and (b) that the hearer is aware of the fact that the intentionally used prejudices are in fact prejudices. Furthermore, the paper shows how testimonial injustice relates to recognition failures both in terms of a causal as well as a constitutive claim. In fact, introducing willful testimonial injustice can support the constitutive claim of such a relation that has so far received little attention. Besides arguing for a novel form of testimonial injustice and contributing to the recent debate on the relation between epistemic injustice and recognition failures, this paper is also motivated by the attempt to draw attention to the inhumane conditions for refugees at the border of Europe as well as elsewhere.
Diglossic translanguaging
(2024)
This book examines how German-speaking Jews living in Berlin make sense and make use of their multilingual repertoire. With a focus on lexical variation, the book demonstrates how speakers integrate Yiddish and Hebrew elements into German for indexing belonging and for positioning themselves within the Jewish community. Linguistic choices are shaped by language ideologies (e.g., authenticity, prescriptivism, nostalgia). Speakers translanguage when using their multilingual repertoire, but do so in a diglossic way, using elements from different languages for specific domains
Wildfires, as a key disturbance in forest ecosystems, are shaping the world's boreal landscapes. Changes in fire regimes are closely linked to a wide array of environmental factors, such as vegetation composition, climate change, and human activity. Arctic and boreal regions and, in particular, Siberian boreal forests are experiencing rising air and ground temperatures with the subsequent degradation of permafrost soils leading to shifts in tree cover and species composition. Compared to the boreal zones of North America or Europe, little is known about how such environmental changes might influence long-term fire regimes in Russia. The larch-dominated eastern Siberian deciduous boreal forests differ markedly from the composition of other boreal forests, yet data about past fire regimes remain sparse. Here, we present a high-resolution macroscopic charcoal record from lacustrine sediments of Lake Khamra (southwest Yakutia, Siberia) spanning the last ca. 2200 years, including information about charcoal particle sizes and morphotypes. Our results reveal a phase of increased charcoal accumulation between 600 and 900 CE, indicative of relatively high amounts of burnt biomass and high fire frequencies. This is followed by an almost 900-year-long period of low charcoal accumulation without significant peaks likely corresponding to cooler climate conditions. After 1750 CE fire frequencies and the relative amount of biomass burnt start to increase again, coinciding with a warming climate and increased anthropogenic land development after Russian colonization. In the 20th century, total charcoal accumulation decreases again to very low levels despite higher fire frequency, potentially reflecting a change in fire management strategies and/or a shift of the fire regime towards more frequent but smaller fires. A similar pattern for different charcoal morphotypes and comparison to a pollen and non-pollen palynomorph (NPP) record from the same sediment core indicate that broad-scale changes in vegetation composition were probably not a major driver of recorded fire regime changes. Instead, the fire regime of the last two millennia at Lake Khamra seems to be controlled mainly by a combination of short-term climate variability and anthropogenic fire ignition and suppression.
Halide perovskites
(2021)
The spatio-temporal epidemic type aftershock sequence (ETAS) model is widely used to describe the self-exciting nature of earthquake occurrences. While traditional inference methods provide only point estimates of the model parameters, we aim at a fully Bayesian treatment of model inference, allowing naturally to incorporate prior knowledge and uncertainty quantification of the resulting estimates. Therefore, we introduce a highly flexible, non-parametric representation for the spatially varying ETAS background intensity through a Gaussian process (GP) prior. Combined with classical triggering functions this results in a new model formulation, namely the GP-ETAS model. We enable tractable and efficient Gibbs sampling by deriving an augmented form of the GP-ETAS inference problem. This novel sampling approach allows us to assess the posterior model variables conditioned on observed earthquake catalogues, i.e., the spatial background intensity and the parameters of the triggering function. Empirical results on two synthetic data sets indicate that GP-ETAS outperforms standard models and thus demonstrate the predictive power for observed earthquake catalogues including uncertainty quantification for the estimated parameters. Finally, a case study for the l'Aquila region, Italy, with the devastating event on 6 April 2009, is presented.
Relationships between climate, species composition, and species richness are of particular importance for understanding how boreal ecosystems will respond to ongoing climate change. This study aims to reconstruct changes in terrestrial vegetation composition and taxa richness during the glacial Late Pleistocene and the interglacial Holocene in the sparsely studied southeastern Yakutia (Siberia) by using pollen and sedimentary ancient DNA (sedaDNA) records. Pollen and sedaDNA metabarcoding data using the trnL g and h markers were obtained from a sediment core from Lake Bolshoe Toko. Both proxies were used to reconstruct the vegetation composition, while metabarcoding data were also used to investigate changes in plant taxa richness. The combination of pollen and sedaDNA approaches allows a robust estimation of regional and local past terrestrial vegetation composition around Bolshoe Toko during the last similar to 35,000 years. Both proxies suggest that during the Late Pleistocene, southeastern Siberia was covered by open steppe-tundra dominated by graminoids and forbs with patches of shrubs, confirming that steppe-tundra extended far south in Siberia. Both proxies show disturbance at the transition between the Late Pleistocene and the Holocene suggesting a period with scarce vegetation, changes in the hydrochemical conditions in the lake, and in sedimentation rates. Both proxies document drastic changes in vegetation composition in the early Holocene with an increased number of trees and shrubs and the appearance of new tree taxa in the lake's vicinity. The sedaDNA method suggests that the Late Pleistocene steppe-tundra vegetation supported a higher number of terrestrial plant taxa than the forested Holocene. This could be explained, for example, by the "keystone herbivore" hypothesis, which suggests that Late Pleistocene megaherbivores were able to maintain a high plant diversity. This is discussed in the light of the data with the broadly accepted species-area hypothesis as steppe-tundra covered such an extensive area during the Late Pleistocene.
Selenium (Se) is known to contribute to several vital physiological functions in mammals: antioxidant defense, fertility, thyroid hormone metabolism, and immune response. Growing evidence indicates the crucial role of Se and Se-containing selenoproteins in the brain and brain function. As for the other essential trace elements, dietary Se needs to reach effective concentrations in the central nervous system (CNS) to exert its functions. To do so, Se-species have to cross the blood-brain barrier (BBB) and/or blood-cerebrospinal fluid barrier (BCB) of the choroid plexus. The main interface between the general circulation of the body and the CNS is the BBB. Endothelial cells of brain capillaries forming the so-called tight junctions are the primary anatomic units of the BBB, mainly responsible for barrier function. The current review focuses on Se transport to the brain, primarily including selenoprotein P/low-density lipoprotein receptor-related protein 8 (LRP8, also known as apolipoprotein E receptor-2) dependent pathway, and supplementary transport routes of Se into the brain via low molecular weight Se-species. Additionally, the potential role of Se and selenoproteins in the BBB, BCB, and neurovascular unit (NVU) is discussed. Finally, the perspectives regarding investigating the role of Se and selenoproteins in the gut-brain axis are outlined.
Both ground- and satellite-based airglow imaging have significantly contributed to understanding the low-latitude ionosphere, especially the morphology and dynamics of the equatorial ionization anomaly (EIA). The NASA Global-scale Observations of the Limb and Disk (GOLD) mission focuses on far-ultraviolet airglow images from a geostationary orbit at 47.5 degrees W. This region is of particular interest at low magnetic latitudes because of the high magnetic declination (i.e., about -20 degrees) and proximity of the South Atlantic magnetic anomaly. In this study, we characterize an exciting feature of the nighttime EIA using GOLD observations from October 5, 2018 to June 30, 2020. It consists of a wavelike structure of a few thousand kilometers seen as poleward and equatorward displacements of the EIA-crests. Initial analyses show that the synoptic-scale structure is symmetric about the dip equator and appears nearly stationary with time over the night. In quasi-dipole coordinates, maxima poleward displacements of the EIA-crests are seen at about +/- 12 degrees latitude and around 20 and 60 degrees longitude (i.e., in geographic longitude at the dip equator, about 53 degrees W and 14 degrees W). The wavelike structure presents typical zonal wavelengths of about 6.7 x 10(3) km and 3.3 x 10(3) km. The structure's occurrence and wavelength are highly variable on a day-to-day basis with no apparent dependence on geomagnetic activity. In addition, a cluster or quasi-periodic wave train of equatorial plasma depletions (EPDs) is often detected within the synoptic-scale structure. We further outline the difference in observing these EPDs from FUV images and in situ measurements during a GOLD and Swarm mission conjunction.
Mechanical behaviors of granite after thermal treatment under loading and unloading conditions
(2021)
Understanding the mechanical behaviors of granite after thermal treatment under loading and unloading conditions is of utmost relevance to deep geothermal energy recovery. In the present study, a series of loading and unloading triaxial compression tests (20, 40 and 60 MPa) on granite specimens after exposure to different temperatures (20, 200, 300, 400, 500 and 600 degrees C) was carried out to quantify the combined effects of thermal treatment and loading/unloading stress conditions on granite strength and deformation. Changes in the microstructure of granite exposed to high temperatures were revealed by optical microscopy. The experimental results indicate that both, thermal treatment and loading/unloading stress conditions, degrade the mechanical behaviors and further decrease the carrying capacity of granite. The gradual degradation of the mechanical characteristics of granite after thermal treatment is mainly associated with the evolution of thermal micro-cracks based on optical microscopy observations. The unloading stress state induces the extension of tension cracks parallel to the axial direction, and thus, the mechanical properties are degraded. Temperatures above 400 degrees C have a more significant influence on the mechanical characteristics of granite than the unloading treatment, whereby 400 degrees C can be treated as a threshold temperature for the delineation of significant deterioration. This study is expected to support feasibility and risk assessments by means of providing data for analytical calculations and numerical simulations on granite exposed to high temperatures during geothermal energy extraction.
Background
The centrality of an event indicates the extent to which it becomes a core part of identity and life story. Event centrality (EC) has been shown to have a strong relationship with PTSD symptoms, which seems to be indirectly influenced by negative posttraumatic cognitions (PTC). However, research on this potential mediation and its causal links particularly with clinical samples is limited and essential to derive treatment implications.
Methods
Pre- and posttreatment data of 103 day-unit patients with PTSD was examined using mediation analyses and structural equation modeling.
Results
Negative PTC mediated the relationship between EC and PTSD symptoms, partially pre- and completely posttreatment. Within extended longitudinal analyses causal directions of the mediation pathways were not adequately interpretable due to unexpected suppression effects.
Conclusions
The results suggest that EC may only have an indirect effect on PTSD symptoms through negative PTC. Thus, decreasing negative PTC which are connected to centralized events might be a key element for PTSD treatment. Thereby, transforming the cognitions' valence to more positive and constructive forms could be crucial rather than mere decentralization. Although suppression effects limited causal inferences, they do not contradict the mediation and further indicate potential interactional terms and a transformation of EC.
Programs are often subjected to significant optimizing and parallelizing transformations based on extensive dependence analysis. Formal validation of such transformations needs modelling paradigms which can capture both control and data dependences in the program vividly. Being value-based with an inherent scope of capturing parallelism, the untimed coloured Petri net (CPN) models, reported in the literature, fit the bill well; accordingly, they are likely to be more convenient as the intermediate representations (IRs) of both the source and the transformed codes for translation validation than strictly sequential variable-based IRs like sequential control flow graphs (CFGs). In this work, an efficient path-based equivalence checking method for CPN models of programs on integers is presented. Extensive experimentation has been carried out on several sequential and parallel examples. Complexity and correctness issues have been treated rigorously for the method.
This paper starts from the premise that Western states are connected to some of the harms refugees suffer from. It specifically focuses on the harm of acts of misrecognition and its relation to epistemic injustice that refugees suffer from in refugee camps, in detention centers, and during their desperate attempts to find refuge. The paper discusses the relation between hermeneutical injustice and acts of misrecognition, showing that these two phenomena are interconnected and that acts of misrecognition are particularly damaging when (a) they stretch over different contexts, leaving us without or with very few safe spaces, and (b) they dislocate us, leaving us without a community to turn to. The paper then considers the ways in which refugees experience acts of misrecognition and suffer from hermeneutical injustice, using the case of unaccompanied children at the well-known and overcrowded camp Moria in Greece, the case of unsafe detention centers in Libya, and the case of the denial to assistance on the Mediterranean and the resulting pushbacks from international waters to Libya as well as the preventable drowning of refugees in the Mediterranean to illustrate the arguments. Finally, the paper argues for specific duties toward refugees that result from the prior arguments on misrecognition and hermeneutical injustice.
Touching at a Distance
(2023)
Studies the capacity of Shakespeare’s plays to touch and think about touchBased on plays from all major genres: Hamlet, The Tempest, Richard III, Much Ado About Nothing and Troilus and CressidaCentres on creative, close readings of Shakespeare’s plays, which aim to generate critical impulses for the 21st century readerBrings Shakespeare Studies into touch with philosophers and theoreticians from a range of disciplinary areas – continental philosophy, literary criticism, psychoanalysis, sociology, phenomenology, law, linguistics: Friedrich Nietzsche, Maurice Blanchot, Jacques Lacan, Luce Irigaray, Jacques Derrida, Roland Barthes, Niklas Luhmann, Hans Blumenberg, Carl Schmitt, J. L. AustinTheatre has a remarkable capacity: it touches from a distance. The audience is affected, despite their physical separation from the stage. The spectators are moved, even though the fictional world presented to them will never come into direct touch with their real lives. Shakespeare is clearly one of the master practitioners of theatrical touch. As the study shows, his exceptional dramaturgic talent is intrinsically connected with being one of the great thinkers of touch. His plays fathom the complexity and power of a fascinating notion – touch as a productive proximity that is characterised by unbridgeable distance – which philosophers like Friedrich Nietzsche, Maurice Blanchot, Jacques Derrida, Luce Irigaray and Jean-Luc Nancy have written about, centuries later. By playing with touch and its metatheatrical implications, Shakespeare raises questions that make his theatrical art point towards modernity: how are communities to form when traditional institutions begin to crumble? What happens to selfhood when time speeds up, when oneness and timeless truth can no longer serve as reliable foundations? What is the role and the capacity of language in a world that has lost its seemingly unshakeable belief and trust in meaning? How are we to conceive of the unthinkable extremes of human existence – birth and death – when the religious orthodoxy slowly ceases to give satisfactory explanations? Shakespeare’s theatre not only prompts these questions, but provides us with answers. They are all related to touch, and they are all theatrical at their core: they are argued and performed by the striking experience of theatre’s capacities to touch – at a distance
The digitalization of public administration is increasingly moving forward. This systematic literature review analyzes empirical studies that explore the impacts of digitalization projects (n=93) in the public sector. Bibliometrically, only a few authors have published several times on this topic so far. Most studies focusing on impact come from the US or China, and are related to Computer Science. In terms of content, the majority of examined articles studies services to citizens, and therefore consider them when measuring impact. A classification of the investigated effects by dimensions of public value shows that the analysis of utilitarian-instrumental values, such as efficiency or performance, is prevalent. More interdisciplinary cooperation is needed to research the impact of digitalization in the public sector. The different dimensions of impact should be linked more closely. In addition, research should focus more on the effects of digitalization within administration.
It is widely recognized that collisional mountain belt topography is generated by crustal thickening and lowered by river bedrock erosion, linking climate and tectonics(1-4). However, whether surface processes or lithospheric strength control mountain belt height, shape and longevity remains uncertain. Additionally, how to reconcile high erosion rates in some active orogens with long-term survival of mountain belts for hundreds of millions of years remains enigmatic. Here we investigate mountain belt growth and decay using a new coupled surface process(5,6) and mantle-scale tectonic model(7). End-member models and the new non-dimensional Beaumont number, Bm, quantify how surface processes and tectonics control the topographic evolution of mountain belts, and enable the definition of three end-member types of growing orogens: type 1, non-steady state, strength controlled (Bm > 0.5); type 2, flux steady state(8), strength controlled (Bm approximate to 0.4-0.5); and type 3, flux steady state, erosion controlled (Bm < 0.4). Our results indicate that tectonics dominate in Himalaya-Tibet and the Central Andes (both type 1), efficient surface processes balance high convergence rates in Taiwan (probably type 2) and surface processes dominate in the Southern Alps of New Zealand (type 3). Orogenic decay is determined by erosional efficiency and can be subdivided into two phases with variable isostatic rebound characteristics and associated timescales. The results presented here provide a unified framework explaining how surface processes and lithospheric strength control the height, shape, and longevity of mountain belts.
Potentially disabled?
(2022)
Ten years ago, I was diagnosed with a rare illness called Myasthenia Gravis. Myasthenia Gravis is a long-term neuromuscular autoimmune disease where antibodies block or destroy specific receptors at the junction between nerve and muscle; hence, nerve impulses fail to trigger muscle contractions. The disease leads to varying degrees of muscle weakness. Currently, I have only minor symptoms, I am not seriously impaired, and I do not suffer from any social disadvantage because of my illness. Yet, my life and my body since my diagnosis feel different than before. In this paper I aim to make this feeling intelligible and propose that it is a state of what I call ‘latent impairment’. Latent impairment is a state of being ‘in between’, different from being actually impaired and also different from being abled-bodied. The theory takes its cues both from social constructionist theories of disability as well as theories of (chronic) illness and their focus on the importance of subjectivity. Furthermore, I suggest that a phenomenological understanding of latent impairment can show possible ways of becoming an ally to the DRM.
The legitimacy and effectiveness of international organizations are often linked directly to issues of representation—not only on their high-level governing boards and in top leadership but also within their staff. This article explores two key questions of bureaucratic representation in the critical cases of the International Monetary Fund and World Bank. First, we seek to unpack three essential dimensions of staff representation—nationality, education, and gender—to explain how representation may matter for international organizations. Second, we aim to describe the multiple dimensions of representation in the International Monetary Fund and the World Bank over the past twenty years by deploying a novel dataset on staff demographics, focusing on ranks with decision-making authority within the institutions. Our descriptive analysis reveals that the International Monetary Fund and the World Bank have made considerable efforts to diversify their bureaucracies. Nonetheless, representation remains uneven; for example, nationals from middle- and low-income countries, women, and staff without economics degrees from prominent US- or UK-based universities are less present in key leadership positions. These results may be well explained by the particular needs of the institutions’ technical mandates and limits in the supply of qualified staff and, as such, need not be seen as suboptimal. Nonetheless, perceived imbalances in representation may continue to pose external legitimation and operational challenges to the International Monetary Fund and the World Bank in a complex political environment where such multidimensional representation is important to sustaining the buy-in of donor and borrower countries alike. To this end, we recommend that the International Monetary Fund and the World Bank enhance their diversity and inclusion efforts by increasing transparency via reporting disaggregated data on workforce composition and introducing annual requirements to publish progress reports with management feedback to strengthen internal and external accountability.
Traditional inorganic semiconductors can be electronically doped with high precision. Conversely, there is still conjecture regarding the assessment of the electronic doping density in metal-halide perovskites, not to mention of a control thereof. This paper presents a multifaceted approach to determine the electronic doping density for a range of different lead-halide perovskite systems. Optical and electrical characterization techniques, comprising intensity-dependent and transient photoluminescence, AC Hall effect, transfer-length-methods, and charge extraction measurements were instrumental in quantifying an upper limit for the doping density. The obtained values are subsequently compared to the electrode charge per cell volume under short-circuit conditions ( CUbi/eV), which amounts to roughly 10(16) cm(-3). This figure of merit represents the critical limit below which doping-induced charges do not influence the device performance. The experimental results consistently demonstrate that the doping density is below this critical threshold 10(12) cm(-3), which means << CUbi / e V) for all common lead-based metal-halide perovskites. Nevertheless, although the density of doping-induced charges is too low to redistribute the built-in voltage in the perovskite active layer, mobile ions are present in sufficient quantities to create space-charge-regions in the active layer, reminiscent of doped pn-junctions. These results are well supported by drift-diffusion simulations, which confirm that the device performance is not affected by such low doping densities.
Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences.
Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational large-scale assessments (ELSAs) or social, health, and economic survey and panel studies. The meta-analytic integration of these results offers unique and novel research opportunities to provide strong empirical evidence of the consistency and generalizability of important phenomena and trends.
Using ELSAs as an example, this tutorial offers methodological guidance on how to use the two-stage approach to IPD meta-analysis to account for the statistical challenges of complex survey designs (e.g., sampling weights, clustered and missing IPD), first, to conduct descriptive analyses (Stage 1), and second, to integrate results with three-level meta-analytic and meta-regression models to take into account dependencies among effect sizes (Stage 2).
The two-stage approach is illustrated with IPD on reading achievement from the Programme for International Student Assessment (PISA). We demonstrate how to analyze and integrate standardized mean differences (e.g., gender differences), correlations (e.g., with students' socioeconomic status [SES]), and interactions between individual characteristics at the participant level (e.g., the interaction between gender and SES) across several PISA cycles.
All the datafiles and R scripts we used are available online. Because complex social, health, or economic survey and panel studies share many methodological features with ELSAs, the guidance offered in this tutorial is also helpful for synthesizing research evidence from these studies.
With an increasing number of expected gravitational-wave detections of binary neutron star mergers, it is essential that gravitational-wave models employed for the analysis of observational data are able to describe generic compact binary systems. This includes systems in which the individual neutron stars are millisecond pulsars for which spin effects become essential. In this work, we perform numerical-relativity simulations of binary neutron stars with aligned and antialigned spins within a range of dimensionless spins of chi similar to [-0.28, 0.58]. The simulations are performed with multiple resolutions, show a clear convergence order and, consequently, can be used to test existing waveform approximants. We find that for very high spins gravitational-wave models that have been employed for the interpretation of GW170817 and GW190425 arc not capable of describing our numerical-relativity dataset. We verify through a full parameter estimation study in which clear biases in the estimate of the tidal deformability and effective spin are present. We hope that in preparation of the next gravitational-wave observing run of the Advanced LIGO and Advanced Virgo detectors our new set of numerical-relativity data can be used to support future developments of new gravitational-wave models.
Assessing the impact of hydrogen absorption on the characteristics of the Galactic center excess
(2022)
We present a new reconstruction of the distribution of atomic hydrogen in the inner Galaxy that is based on explicit radiation transport modeling of line and continuum emission and a gas-flow model in the barred Galaxy that provides distance resolution for lines of sight toward the Galactic center.
The main benefits of the new gas model are (a) the ability to reproduce the negative line signals seen with the HI4PI survey and (b) the accounting for gas that primarily manifests itself through absorption.
We apply the new model of Galactic atomic hydrogen to an analysis of the diffuse gamma-ray emission from the inner Galaxy, for which an excess at a few GeV was reported that may be related to dark matter.
We find with high significance an improved fit to the diffuse gamma-ray emission observed with the Fermi-LAT, if our new H i model is used to estimate the cosmic-ray induced diffuse gamma-ray emission.
The fit still requires a nuclear bulge at high significance. Once this is included there is no evidence of a dark-matter signal, be it cuspy or cored. But an additional so-called boxy bulge is still favored by the data.
This finding is robust under the variation of various parameters, for example, the excitation temperature of atomic hydrogen, and a number of tests for systematic issues.
Background
Due to physical coupling between mechanical stress and magnetization in ferromagnetic materials, it is assumed in the literature that the distribution of the magnetic stray field corresponds to the internal (residual) stress of the specimen.
The correlation is, however, not trivial, since the magnetic stray field is also influenced by the microstructure and the geometry of component.
The understanding of the correlation between residual stress and magnetic stray field could help to evaluate the integrity of welded components.
Objective
This study aims at understanding the possible correlation of subsurface and bulk residual stress with magnetic stray field in a low carbon steel weld.
Methods
The residual stress was determined by synchrotron X-ray diffraction (SXRD, subsurface region) and by neutron diffraction (ND, bulk region).
SXRD possesses a higher spatial resolution than ND. Magnetic stray fields were mapped by utilizing high-spatial-resolution giant magneto resistance (GMR) sensors.
Results
The subsurface residual stress overall correlates better with the magnetic stray field distribution than the bulk stress. This correlation is especially visible in the regions outside the heat affected zone, where the influence of the microstructural features is less pronounced but steep residual stress gradients are present.
Conclusions
It was demonstrated that the localized stray field sources without any obvious microstructural variations are associated with steep stress gradients.
The good correlation between subsurface residual stress and magnetic signal indicates that the source of the magnetic stray fields is to be found in the range of the penetration depth of the SXRD measurements.
Human observer net
(2022)
Background:
Current software applications for human observer studies of images lack flexibility in study design, platform independence, multicenter use, and assessment methods and are not open source, limiting accessibility and expandability.
Purpose:
To develop a user-friendly software platform that enables efficient human observer studies in medical imaging with flexibility of study design.
Materials and Methods:
Software for human observer imaging studies was designed as an open-source web application to facilitate access, platform-independent usability, and multicenter studies. Different interfaces for study creation, participation, and management of results were implemented. The software was evaluated in human observer experiments between May 2019 and March 2021, in which duration of observer responses was tracked. Fourteen radiologists evaluated and graded software usability using the 100-point system usability scale. The application was tested in Chrome, Firefox, Safari, and Edge browsers.
Results:
Software function was designed to allow visual grading analysis (VGA), multiple-alternative forced-choice (m-AFC), receiver operating characteristic (ROC), localization ROC, free-response ROC, and customized designs. The mean duration of reader responses per image or per image set was 6.2 seconds 6 4.8 (standard deviation), 5.8 seconds 6 4.7, 8.7 seconds 6 5.7, and 6.0 seconds 6 4.5 in four-AFC with 160 image quartets per reader, four-AFC with 640 image quartets per reader, localization ROC, and experimental studies, respectively. The mean system usability scale score was 83 6 11 (out of 100). The documented code and a demonstration of the application are available online (https://github.com/genskeu/HON, https://hondemo.pythonanywhere.com/).
Conclusion:
A user-friendly and efficient open-source application was developed for human reader experiments that enables study design versatility, as well as platform-independent and multicenter usability.
The Brassica napus seed microbiota is cultivar-specific and transmitted via paternal breeding lines
(2022)
Seed microbiota influence germination and plant health and have the potential to improve crop performance, but the factors that determine their structure and functions are still not fully understood.
Here, we analysed the impact of plant-related and external factors on seed endophyte communities of 10 different oilseed rape (Brassica napus L.) cultivars from 26 field sites across Europe.
All seed lots harboured a high abundance and diversity of endophytes, which were dominated by six genera: Ralstonia, Serratia, Enterobacter, Pseudomonas, Pantoea, and Sphingomonas.
The cultivar was the main factor explaining the variations in bacterial diversity, abundance and composition. In addition, the latter was significantly influenced by diverse biotic and abiotic factors, for example host germination rates and disease resistance against Plasmodiophora brassicae.
A set of bacterial biomarkers was identified to discriminate between characteristics of the seeds, for example Sphingomonas for improved germination and Brevundimonas for disease resistance.
Application of a Bayesian community approach suggested vertical transmission of seed endophytes, where the paternal parent plays a major role and might even determine the germination performance of the offspring.
This study contributes to the understanding of seed microbiome assembly and underlines the potential of the microbiome to be implemented in crop breeding and biocontrol programmes.
Divided loyalties?
(2022)
Many operational International Organizations (IOs) rely on national staff when implementing projects in member states. However, fears persist that the loyalties of national IO staff may be divided when working in their home countries. The article studies differences in more than 50,000 procurement decisions taken in 1729 projects overseen by World Bank staff working as expatriates or in their home countries. The empirical results show that when staff work in their home countries, national suppliers' probability of winning procurement contracts increases. However, these increases are not driven by restricted procurement processes—that exclude competition—which are often seen as red flags for corruption. Instead, restricted procurement processes seem to be less likely when staff work in their home countries. These findings imply that national IO staff use their country-specific knowledge to increase the development effectiveness of procurement in line with the mandate of the World Bank.
Inferences about hypotheses are ubiquitous in the cognitive sciences. Bayes factors provide one general way to compare different hypotheses by their compatibility with the observed data. Those quantifications can then also be used to choose between hypotheses. While Bayes factors provide an immediate approach to hypothesis testing, they are highly sensitive to details of the data/model assumptions and it's unclear whether the details of the computational implementation (such as bridge sampling) are unbiased for complex analyses. Hem, we study how Bayes factors misbehave under different conditions. This includes a study of errors in the estimation of Bayes factors; the first-ever use of simulation-based calibration to test the accuracy and bias of Bayes factor estimates using bridge sampling; a study of the stability of Bayes factors against different MCMC draws and sampling variation in the data; and a look at the variability of decisions based on Bayes factors using a utility function. We outline a Bayes factor workflow that researchers can use to study whether Bayes factors are robust for their individual analysis. Reproducible code is available from haps://osf.io/y354c/. <br /> Translational Abstract <br /> In psychology and related areas, scientific hypotheses are commonly tested by asking questions like "is [some] effect present or absent." Such hypothesis testing is most often carried out using frequentist null hypothesis significance testing (NIIST). The NHST procedure is very simple: It usually returns a p-value, which is then used to make binary decisions like "the effect is present/abscnt." For example, it is common to see studies in the media that draw simplistic conclusions like "coffee causes cancer," or "coffee reduces the chances of geuing cancer." However, a powerful and more nuanced alternative approach exists: Bayes factors. Bayes factors have many advantages over NHST. However, for the complex statistical models that arc commonly used for data analysis today, computing Bayes factors is not at all a simple matter. In this article, we discuss the main complexities associated with computing Bayes factors. This is the first article to provide a detailed workflow for understanding and computing Bayes factors in complex statistical models. The article provides a statistically more nuanced way to think about hypothesis testing than the overly simplistic tendency to declare effects as being "present" or "absent".
Donors of development assistance for health typically provide funding for a range of disease focus areas, such as maternal health and child health, malaria, HIV/AIDS, and other infectious diseases. But funding for each disease category does not match closely its contribution to the disability and loss of life it causes and the cost-effectiveness of interventions. We argue that peer influences in the social construction of global health priorities contribute to explaining this misalignment. Aid policy-makers are embedded in a social environment encompassing other donors, health experts, advocacy groups, and international officials. This social environment influences the conceptual and normative frameworks of decision-makers, which in turn affect their funding priorities. Aid policy-makers are especially likely to emulate decisions on funding priorities taken by peers with whom they are most closely involved in the context of expert and advocacy networks. We draw on novel data on donor connectivity through health IGOs and health INGOs and assess the argument by applying spatial regression models to health aid disbursed globally between 1990 and 2017. The analysis provides strong empirical support for our argument that the involvement in overlapping expert and advocacy networks shapes funding priorities regarding disease categories and recipient countries in health aid.
In this study, we analyzed a large seismological dataset from temporary and permanent networks in the southern and eastern Alps to establish high-precision hypocenters and 1-D V-P and V-P/V-S models. The waveform data of a subset of local earthquakes with magnitudes in the range of 1-4.2 M-L were recorded by the dense, temporary SWATH-D network and selected stations of the AlpArray network between September 2017 and the end of 2018. The first arrival times of P and S waves of earthquakes are determined by a semi-automatic procedure. We applied a Markov chain Monte Carlo inversion method to simultaneously calculate robust hypocenters, a 1-D velocity model, and station corrections without prior assumptions, such as initial velocity models or earthquake locations. A further advantage of this method is the derivation of the model parameter uncertainties and noise levels of the data. The precision estimates of the localization procedure is checked by inverting a synthetic travel time dataset from a complex 3-D velocity model and by using the real stations and earthquakes geometry. The location accuracy is further investigated by a quarry blast test. The average uncertainties of the locations of the earthquakes are below 500m in their epicenter and similar to 1.7 km in depth. The earthquake distribution reveals seismicity in the upper crust (0-20 km), which is characterized by pronounced clusters along the Alpine frontal thrust, e.g., the Friuli-Venetia (FV) region, the Giudicarie-Lessini (GL) and Schio-Vicenza domains, the Austroalpine nappes, and the Inntal area. Some seismicity also occurs along the Periadriatic Fault. The general pattern of seismicity reflects head-on convergence of the Adriatic indenter with the Alpine orogenic crust. The seismicity in the FV and GL regions is deeper than the modeled frontal thrusts, which we interpret as indication for southward propagation of the southern Alpine deformation front (blind thrusts).
Dryland xeric conditions exert a deterministic effect on microbial communities, forcing life into refuge niches. Deposited rocks can form a lithic niche for microorganisms in desert regions. Mineral weathering is a key process in soil formation and the importance of microbial-driven mineral weathering for nutrient extraction is increasingly accepted. Advances in geobiology provide insight into the interactions between microorganisms and minerals that play an important role in weathering processes. In this study, we present the examination of the microbial diversity in dryland rocks from the Tsauchab River banks in Namibia. We paired culture-independent 16S rRNA gene amplicon sequencing with culture-dependent (isolation of bacteria) techniques to assess the community structure and diversity patterns. Bacteria isolated from dryland rocks are typical of xeric environments and are described as being involved in rock weathering processes. For the first time, we extracted extra- and intracellular DNA from rocks to enhance our understanding of potentially rock-weathering microorganisms. We compared the microbial community structure in different rock types (limestone, quartz-rich sandstone and quartz-rich shale) with adjacent soils below the rocks. Our results indicate differences in the living lithic and sublithic microbial communities.
Harmful side effects
(2022)
Governments have increasingly adopted laws restricting the activities of international non-governmental organizations INGOs within their borders. Such laws are often intended to curb the ability of critical INGOs to discover and communicate government failures and abuses to domestic and international audiences. They can also have the unintended effect of reducing the presence and activities of INGOs working on health issues, and depriving local health workers and organizations of access to resources, knowledge and other forms of support. This study assesses whether legislative restrictions on INGOs are associated with fewer health INGOs in a wide range of countries and with the ability of those countries to mitigate disability-adjusted life years lost because of twenty-one disease categories between 1993 and 2017. The findings indicate that restrictive legislation hampered efforts by civil society to lighten the global burden of disease and had adverse side effects on the health of citizens worldwide.
In some catchments, the distribution of annual maximum streamflow shows heavy tail behavior, meaning the occurrence probability of extreme events is higher than if the upper tail decayed exponentially. Neglecting heavy tail behavior can lead to an underestimation of the likelihood of extreme floods and the associated risk. Partly contradictory results regarding the controls of heavy tail behavior exist in the literature and the knowledge is still very dispersed and limited. To better understand the drivers, we analyze the upper tail behavior and its controls for 480 catchments in Germany and Austria over a period of more than 50 years. The catchments span from quickly reacting mountain catchments to large lowland catchments, allowing for general conclusions. We compile a wide range of event and catchment characteristics and investigate their association with an indicator of the tail heaviness of flood distributions, namely the shape parameter of the GEV distribution. Following univariate analyses of these characteristics, along with an evaluation of different aggregations of event characteristics, multiple linear regression models, as well as random forests, are constructed. A novel slope indicator, which represents the relation between the return period of flood peaks and event characteristics, captures the controls of heavy tails best. Variables describing the catchment response are found to dominate the heavy tail behavior, followed by event precipitation, flood seasonality, and catchment size. The pre-event moisture state in a catchment has no relevant impact on the tail heaviness even though it does influence flood magnitudes.
Gravitational waves from the collision of binary neutron stars provide a unique opportunity to study the behaviour of supranuclear matter, the fundamental properties of gravity and the cosmic history of our Universe. However, given the complexity of Einstein's field equations, theoretical models that enable source-property inference suffer from systematic uncertainties due to simplifying assumptions. We develop a hypermodel approach to compare and measure the uncertainty of gravitational-wave approximants. Using state-of-the-art models, we apply this new technique to the binary neutron star observations GW170817 and GW190425 and to the sub-threshold candidate GW200311_103121. Our analysis reveals subtle systematic differences (with Bayesian odds of similar to 2) between waveform models. A frequency-dependence study suggests that this may be due to the treatment of the tidal sector. This new technique provides a proving ground for model development and a means to identify waveform systematics in future observing runs where detector improvements will increase the number and clarity of binary neutron star collisions we observe.
There is a longstanding and widely held misconception about the relative remoteness of abstract concepts from concrete experiences. This review examines the current evidence for external influences and internal constraints on the processing, representation, and use of abstract concepts, like truth, friendship, and number. We highlight the theoretical benefit of distinguishing between grounded and embodied cognition and then ask which roles do perception, action, language, and social interaction play in acquiring, representing and using abstract concepts. By reviewing several studies, we show that they are, against the accepted definition, not detached from perception and action. Focussing on magnitude-related concepts, we also discuss evidence for cultural influences on abstract knowledge and explore how internal processes such as inner speech, metacognition, and inner bodily signals (interoception) influence the acquisition and retrieval of abstract knowledge. Finally, we discuss some methodological developments. Specifically, we focus on the importance of studies that investigate the time course of conceptual processing and we argue that, because of the paramount role of sociality for abstract concepts, new methods are necessary to study concepts in interactive situations. We conclude that bodily, linguistic, and social constraints provide important theoretical limitations for our theories of conceptual knowledge.
Accurate and precise characterization of cirrus cloud geometrical and optical properties is essential for better constraining their radiative footprint. A lidar-based retrieval scheme is proposed here, with its performance assessed on fine spatio-temporal observations over the Arctic site of Ny-Alesund, Svalbard. Two contributions related to cirrus geometrical (dynamic Wavelet Covariance Transform (WCT)) and optical properties (constrained Klett) are reported. The dynamic WCT rendered cirrus detection more robust, especially for thin cirrus layers that frequently remained undetected by the classical WCT method. Regarding optical characterization, we developed an iterative scheme for determining the cirrus lidar ratio (LRci) that is a crucial parameter for aerosol - cloud discrimination. Building upon the Klett-Fernald method, the LRci was constrained by an additional reference value. In established methods, such as the double-ended Klett, an aerosol-free reference value is applied. In the proposed constrained Klett, however, the reference value was approximated from cloud-free or low cloud optical depth (COD up to 0.2) profiles and proved to agree with independent Raman estimates. For optically thin cirrus, the constrained Klett inherent uncertainties reached 50% (60-74%) in terms of COD (LRci). However, for opaque cirrus COD (LRci) uncertainties were lower than 10% (15%). The detection method discrepancies (dynamic versus static WCT) had a higher impact on the optical properties of low COD layers (up to 90%) compared to optically thicker ones (less than 10%). The constrained Klett presented high agreement with two established retrievals. For an exemplary cirrus cloud, the constrained Klett estimated the COD355 (LRci355) at 0.28 +/- 0.17 (29 +/- 4 sr), the double-ended Klett at 0.27 +/- 0.15 (32 +/- 4 sr) and the Raman retrievals at 0.22 +/- 0.12 (26 +/- 11 sr). Our approach to determine the necessary reference value can also be applied in established methods and increase their accuracy. In contrast, the classical aerosol-free assumption led to 44 sr LRci overestimation in optically thin layers and 2-8 sr in thicker ones. The multiple scattering effect was corrected using Eloranta (1998) and accounted for 50-60% extinction underestimation near the cloud base and 20-30% within the cirrus layers.
Spring Issue
(2024)
The metastable paragenesis of corundum and quartz is rare in nature but common in laboratory experiments where according to thermodynamic predictions aluminum-silicate polymorphs should form. We demonstrate here that the existence of a hydrous, silicon-bearing, nanometer-thick layer (called "HSNL") on the corundum surface can explain this metastability in experimental studies without invoking unspecific kinetic inhibition. We investigated experimentally formed corundum reaction products synthesized during hydrothermal and piston-cylinder experiments at 500-800 degrees C and 0.25-1.8 GPa and found that this HSNL formed inside and on the corundum crystals, thereby controlling the growth behavior of its host. The HSNL represents a substitution of Al with Si and H along the basal plane of corundum. Along the interface of corundum and quartz, the HSNL effectively isolates the bulk phases corundum and quartz from each other, thus apparently preventing their reaction to the stable aluminum silicate. High temperatures and prolonged experimental duration lead to recrystallization of corundum including the HSNL and to the formation of quartz + fluid inclusions inside the host crystal. This process reduces the phase boundary area between the bulk phases, thereby providing further opportunity to expand their coexistence. In addition to its small size, its transient nature makes it difficult to detect the HSNL in experiments and even more so in natural samples. Our findings emphasize the potential impact of nanometer-sized phases on geochemical reaction pathways and kinetics under metamorphic conditions in one of the most important chemical systems of the Earth's crust.
Glucosinolates are plant secondary metabolites found in cruciferous vegetables (Brassicaceae) that are valued for their potential health benefits. Frequently consumed representatives of these vegetables, for example, are white or red cabbage, which are typically boiled before consumption. Recently, 3-alk(en)yl-4-hydroxythiazolidine-2-thiones were identified as a class of thermal glucosinolate degradation products that are formed during the boiling of cabbage. Since these newly discovered compounds are frequently consumed, this raises questions about their potential uptake and their possible bioactive functions. Therefore, 3-allyl-4-hydroxythiazolidine-2-thione (allyl HTT) and 4-hydroxy-3-(4-(methylsulfinyl) butyl)thiazolidine-2-thione (4-MSOB HTT) as degradation products of the respective glucosinolates sinigrin and glucoraphanin were investigated. After consumption of boiled red cabbage broth, recoveries of consumed amounts of the degradation products in urine collected for 24 h were 18 +/- 5% for allyl HTT and 21 +/- 4% for 4-MSOB HTT (mean +/- SD, n = 3). To investigate the stability of the degradation products during uptake and to elucidate the uptake mechanism, both an in vitro stomach and an in vitro intestinal model were applied. The results indicate that the uptake of allyl HTT and 4-MSOB HTT occurs by passive diffusion. Both compounds show no acute cell toxicity, no antioxidant potential, and no change in NAD(P)H dehydrogenase quinone 1 (NQO1) activity up to 100 mu M. However, inhibition of glycogen synthase kinases-3 (GSK-3) in the range of 20% for allyl HTT for the isoform GSK-3 beta and 29% for 4-MSOB HTT for the isoform GSK-3 alpha at a concentration of 100 mu M was found. Neither health-promoting nor toxic effects of 3-alk(en)yl-4-hydroxythiazolidine-2-thiones were found in the four tested assays carried out in this study, which contrasts with the properties of other glucosinolate degradation products, such as isothiocyanates.
Despite its high-seismogenic potential, the details of the seismogenic processes of Zagros Simply Folded Belt (SFB) remains debated. Three large earthquakes (M-w 7.3, 5.9 and 6.3) struck in the Lurestan arc of the Zagros SFB in 2017 and 2018. The sequence was recorded by seismic stations at regional, and teleseismic distances. Coseismic surface displacements, measured by Sentinel-1A/B satellites, provide additional data and a unique opportunity to study these earthquakes in detail. Here, we complement previous studies of the coseismic slip distribution of the 12 November 2017 M-w 7.3 Ezgeleh earthquake by a detailed analysis of its aftershocks, and we analysed the rupture process of the two interrelated earthquakes (25 August 2018 M-w 5.9 Tazehabad and the 25 November 2018 M-w 6.3 Sarpol-e Zahab earthquakes). We model the surface displacements obtained from Interferometric Synthetic Aperture Radar (InSAR) measurements and seismic records. We conduct non-linear probabilistic optimizations based on joint InSAR and seismic data to obtain finite-fault rupture of these earthquakes. The Lurestan arc earthquakes were followed by a sustained aftershock activity, with 133 aftershocks exceeding M-n 4.0 until 30 December 2019. We rely on the permanent seismic networks of Iran and Iraq to relocate similar to 700 M-n 3 + events and estimate moment tensor solutions for 85 aftershocks down to M-w 4.0. The 2017 Ezgeleh earthquake has been considered to activate a low-angle (similar to 17 degrees) dextral-thrust fault at the depth of 10-20 km. However, most of its aftershocks have shallow centroid depths (8-12 km). The joint interpretation of finite source models, moment tensor and hypocentral location indicate that the 2018 Tazehabad and Sarpol-e Zahab earthquakes ruptured different strike-slip structures, providing evidence for the activation of the sinistral and dextral strike-slip faults, respectively. The deformation in the Lurestan arc is seismically accommodated by a complex fault system involving both thrust and strike-slip faults. Knowledge about the deformation characteristics is important for the understanding of crustal shortening, faulting and hazard and risk assessment in this region.
We present the analysis of Very Large Telescope Multi Unit Spectroscopic Explorer (MUSE) observations of the planetary nebula (PN) IC 4406. MUSE images in key emission lines are used to unveil the presence of at least five ring-like structures north and south of the main nebula of IC4406. MUSE spectra are extracted from the rings to unambiguously assess for the first time in a PN their physical conditions, electron density (n(e)), and temperature (T-e). The rings are found to have similar T-e as the rim of the main nebula, but smaller n(e). Ratios between different ionic species suggest that the rings of IC4406 have a lower ionization state than the main cavity, in contrast to what was suggested for the rings in NGC 6543, the Cat's Eye Nebula.